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Remote Sens. 2015, 7(6), 7732-7752; doi:10.3390/rs70607732

Backscatter Analysis Using Multi-Temporal and Multi-Frequency SAR Data in the Context of Flood Mapping at River Saale, Germany

1
German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany
2
Department for Earth Observation, Friedrich-Schiller-University Jena, Grietgasse 6, 07743 Jena, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Guy J-P. Schumann, Heiko Balzter and Prasad S. Thenkabail
Received: 2 March 2015 / Revised: 26 May 2015 / Accepted: 2 June 2015 / Published: 11 June 2015
(This article belongs to the Special Issue Remote Sensing in Flood Monitoring and Management)
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Abstract

In this study, an analysis of multi-temporal and multi-frequency Synthetic Aperture Radar data is performed to investigate the backscatter behavior of various semantic classes in the context of flood mapping in central Europe. The focus is mainly on partially submerged vegetation such as forests and agricultural fields. The test area is located at River Saale, Saxony-Anhalt, Germany, which is covered by a time series of 39 TerraSAR-X data acquired within the time interval December 2009 to June 2013. The data set is supplemented by ALOS PALSAR L-band and RADARSAT-2 C-band data. The time series covers two inundations in January 2011 and June 2013 which allows evaluating backscatter variations between flood periods and normal water level conditions using different radar wavelengths. According to the results, there is potential in detecting flooding beneath vegetation in all microwave wavelengths, even in X-band for sparse vegetation or leaf-off forests. View Full-Text
Keywords: TerraSAR-X; ALOS PALSAR; RADARSAT-2; flood; backscatter analysis; time series; partially submerged vegetation TerraSAR-X; ALOS PALSAR; RADARSAT-2; flood; backscatter analysis; time series; partially submerged vegetation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Martinis, S.; Rieke, C. Backscatter Analysis Using Multi-Temporal and Multi-Frequency SAR Data in the Context of Flood Mapping at River Saale, Germany. Remote Sens. 2015, 7, 7732-7752.

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